Summary of Function-space Parameterization Of Neural Networks For Sequential Learning, by Aidan Scannell et al.
Function-space Parameterization of Neural Networks for Sequential Learningby Aidan Scannell, Riccardo Mereu, Paul Chang, Ella…
Function-space Parameterization of Neural Networks for Sequential Learningby Aidan Scannell, Riccardo Mereu, Paul Chang, Ella…
The Fallacy of Minimizing Cumulative Regret in the Sequential Task Settingby Ziping Xu, Kelly W.…
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A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasksby Beatrice Casey, Joanna C.…
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptationby Sarthak Kumar Maharana, Baoming Zhang,…
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimizationby Cecilia Ying, Stephen ThomasFirst submitted…
Hessian-Free Laplace in Bayesian Deep Learningby James McInerney, Nathan KallusFirst submitted to arxiv on: 15…
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learningby Zhe Huang, Xiaowei Yu,…
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modelingby Tomasz Limisiewicz, Terra Blevins,…
On the low-shot transferability of [V]-Mambaby Diganta Misra, Jay Gala, Antonio OrvietoFirst submitted to arxiv…